{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# Demo notebook for [Issue #48](https://github.com/matplotlib/mplfinance/issues/48)\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.0.1'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.__version__  # for the record\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 5)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>3050.72</td>\n",
       "      <td>3066.95</td>\n",
       "      <td>3050.72</td>\n",
       "      <td>3066.91</td>\n",
       "      <td>510301237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-04</th>\n",
       "      <td>3078.96</td>\n",
       "      <td>3085.20</td>\n",
       "      <td>3074.87</td>\n",
       "      <td>3078.27</td>\n",
       "      <td>524848878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05</th>\n",
       "      <td>3080.80</td>\n",
       "      <td>3083.95</td>\n",
       "      <td>3072.15</td>\n",
       "      <td>3074.62</td>\n",
       "      <td>585634570</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close     Volume\n",
       "Date                                                     \n",
       "2019-11-01  3050.72  3066.95  3050.72  3066.91  510301237\n",
       "2019-11-04  3078.96  3085.20  3074.87  3078.27  524848878\n",
       "2019-11-05  3080.80  3083.95  3072.15  3074.62  585634570"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-26</th>\n",
       "      <td>3134.85</td>\n",
       "      <td>3142.69</td>\n",
       "      <td>3131.00</td>\n",
       "      <td>3140.52</td>\n",
       "      <td>986041660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-27</th>\n",
       "      <td>3145.49</td>\n",
       "      <td>3154.26</td>\n",
       "      <td>3143.41</td>\n",
       "      <td>3153.63</td>\n",
       "      <td>421853938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-29</th>\n",
       "      <td>3147.18</td>\n",
       "      <td>3150.30</td>\n",
       "      <td>3139.34</td>\n",
       "      <td>3140.98</td>\n",
       "      <td>286602291</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close     Volume\n",
       "Date                                                     \n",
       "2019-11-26  3134.85  3142.69  3131.00  3140.52  986041660\n",
       "2019-11-27  3145.49  3154.26  3143.41  3153.63  421853938\n",
       "2019-11-29  3147.18  3150.30  3139.34  3140.98  286602291"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily = pd.read_csv('../data/SP500_NOV2019_Hist.csv',index_col=0,parse_dates=True)\n",
    "daily.index.name = 'Date'\n",
    "daily.shape\n",
    "daily.head(3)\n",
    "daily.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "### Setting grid color and facecolor to the same color (in this case black) makes the grid dissappear:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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j0lBN3bI/U7f8r2SMP5Hs6fMxZ1xL3uwv4d34Ng0f/SMexgkDeTUmZySFot2nE3WFqHzu/s976MU5Di6a6OaSiR5OHePC5XSwzUb59cogf98Y5r3SCNEY4ID8s/IZevlQiMHuJ3ZTs7RmUPZGO8IYUwSEEkGaDpwN3N9G+dHA34EvW2u3NDu0EhhnjBkL7AKuBK7ujjYrTEX6i2azdRcsjv+58KLWiztS0imc/x0yxp9E47olVL/6MEQ68OaQaBjfpmX4Ni3DUzia7OnzyJxyJllHnUWgbCuNH/0D74a3OvnD9AMxKNgzC3cog7Kpb3JEWj2XTE/hkkkejh/pAuDjigj3vR3k7xtDrCnff5g4ZWgKI78ykswJmTSsa2D3wt2EqvXmlnYaDjyRuG/qBJ6y1r5ojPkm8D1gGLDWGPOStfarwJ1AAfBwYnJS2Fo7w1obTjxO8yrxR2Met9au744GK0xF+oMDh28TvcHWhnXdecMouuQOPAXF1Lz+CA2rXkjq8qGqndQs+S32zSfInHw62cfOp+C8b5F3xnV8EtnNaN+WQ1fS1x3waFHuzonM9IU5tfBh5peuZ+o3sgBYURrh+6/7eXZjmE9qDr7P6sp2UXR+Efln5hMLxih9rJTaZbU98iMMFNbatcD0Fvb/EvhlC/u/Cny1lbpeAl7q6jYeSGEqMsCkjTmGwgtvAaDiqTs7tUJPa2LBJhpXv0zj6pdJLZ5C9vR57Jo0m7L0w8g6ZhuNa16jX45hJn4pyUuDk4rdzJk+gksmvs2o1Eoi9THe3BHhxo0hFm8Ks6uh5Z/PmeakYE4BhXMLcaY6sW9bKp6t0Fq6g4TCVGQAyZ5xAeaM6whVl1L59x8Sri3rtmsFStcTKF3PmUN8bM45jvDcb5A55QyqX/kV4Zpd3XbdrjQu38kpo12cPMrFycUupgyJD98GYo285T+Cu9/YzXMb/FQ3tf4LgsPlwJxhGHLBENw5buo+qKP8b+UE9wzeCUaDkcJUZCBweSiYcwNZR52Nb/Nyql76WbsXFUhWRsTLNPsWz6zahTnzOkZc+2vqli+ibsXfINp3emVpbpgxwsUpoxLhOcpFYUb8caKaphjLS8Is2p7LpgnXsSZ6ONv+eCvh2jb+Dh2Qe2IuQy8eSsqQFBo3NlL+83KaPtN6uoORwlSkn3Nl5VN08Q9IHTGR2mV/oe6dJ+npoVYH4F23hKbPVpJ/1n+Sd+qXyZg0m+pXfkVwd++sqjQ8y8HJo1zxnmexm2OHO/G44o8dbqqK8NzmMMtLIiwvibC5KkrakSdQeMF/E/XWUv70HW326rOOymLo5UNJH51O084mtj+wncZ1ja2Wl4FPYSrSj6UMH0/RxbfhTM2g4tn7aNrybo9cNzrt2H0bq9cC8PjefTtf5/WmEq498lyG/dv/0rDqRWrf/lO39pSdDpg6xMms0S5OGeXm5FEuDsuL9zqbQjHe3xXhf5cHWV4S4b3SyEHDttnHnY856z8I7tlKxd/uJeprecJQ+uHpDPviMDInZhKsCFLy2xLqVtT1y9vE0rUUpiL91J60MQy7+kLCjdWU/em7hKp29Oj1d4davyd4duVmdr+5mLxT/53s475AxvgTqXn1YZo++6DVczoi1QUzR7qYPdrFrNEuTh7lJi8t3uvcVR/lnZIIP38vyDslYdaURQm1triRw4k54yvkzLwI35Z3qXrhp8TCBy/tlzI8haGXDiV3Ri7hujC7/7Qbu9QSiyhFJU5hKtLfOJx8knU0pZnj8W9fQ9VzPyHqb+jtVh0kFmzCvv4I3g1vUnDeNxhy+d14N7xJzRuPEvXVdaiuvDQ4ZZSbWaPjATpjhItUdzw811dEWPRxiGU7IyzbGWZHXfsCzuFOpfALN5Mx4WTqP3ge+8/HDlo20W3cDLloCGa2IRqIUv73cqpfqybqH+DLK0qHKUxF+hOHk4L5N1GaOZ6Rvk9Y/vSdEO3cq0Z6asWi4O5N7PnDt8g98TJyT7qCtLHTsf/8Pd6P32j1nFE5jnhwjnEza5SLo4bGZ9kGIzE+2B3hFyuCLNsZ4Z2SCDVtzLRtjTMjlyGX3kHK8PHUvP4oDaue3++4K9NF4fxCCs4uACdUv15N5QuVRBr0WhdpmcJUpL9wuik8/7tkTpzF2IaPOcy3ieWdDNIeFw1Tt3wR3s3LKJj7DQrn30TmlDOoefXXpPnKmFTo5NjhLmaPjvc+xyTud9YHYiwvifDX9X7e3hlh5a4ITW1MEG7P0obu/JEMuexuXFmGymd/TNMn731+zJnhpODsAgrnFOJMd1L7bi0Vz1YQqtLKRdI2halIf+DyUHThLWSMO4GaN37Hjg+eO/Q5fUxeGkxK38PkDXcwjcOZeoRh3DfSGOnM+bzMnoYob++M8NN3AyzbGWFdeZSuvC2ZWjyFoktug2iU8id/8Pkaw65sF4VzCsk/Kx9Xuov6j+op/1s5gVK9Gk3aR2Eq0sc53KkUXXIb6WOPpfrVh2hc/fKhT+pFzpQI5DfxteM8TC5yMrnIxeQiJyOy970izhfaxcaa3SxPmcC2rHPYUOPkvX8uYfOWzzp8vQNnFs/cvGn/fYBz9YdkTJxN4fzvEK4ro+LpuwnXleM2bgrPKyT/tHwcHgf1K+upfLESf4m/0z+/DE4KU5E+zOFJY8ild5I6eipVL/0C77olvd2k/bgyw6QObcKTG8KTE8KdHcKVFp+c81vSaQjE2FAZ5dWtYTZURdlQGWVDZYQdtbHE0yQryRjvwZxzPe6Lz2d45Q58G9/Cu+ltwrb9b8pqPrM4FIvutz3ck0LOCZdiTr8W/851VD57H+7sICMWjCBvVh4OHNS+W0vlPyoJlmnVIukchalIH+VIyWDI5XeTOmIC1S8+iHfD0t5uEqkuOHWMC6ZWMmSIF092/AZmNOggVO/BvzudUIOHXG86o1dsobT+0GO0vi3LadqxhszJp5M56VTyTv0yead+mUDZVnwb38a76S0i9ZVt1jHCkwLAV6YdzbEzZzAi8exr2OHktknzMaNm4t2wlIaPHmbEv+eTe2IusUgM+6al6uUq3ROVpClMRfogZ1oWQ754LylDDqfqufvxbVnea20Zk+tg3jg35x3p5syxbjJTHMQi9UQqU/F+mo2/LI1Io5v4OkhxuZ6UdgXpXtdcdTkACxd+H1d2IRkTZ5E5cTbmjGsxZ1xLYNcmvBvfwrd5GZHGmv3Oda7+8PPvC6Yd/fk+R0o6RRd+n/RRM/Bt/gPpY1Yy7NLDifgjVL9aTdUrVYTr+s5yh9K/KUxF+hhneg5Dr/gRnoJR8dmmn77fo9dPccHs0S7OG+dm3pFuJhXFH0v5tCbKH1aHeOmTMP/InUq1v3uCKNJQRcPKxTSsXIw7dygZE2eTOelU8s/+T8xZXyVQsj4RrO8QbapvsQ5XVj5DLruLtDHg4C6GXhQg4suk4rkKql+rJuLtJ7Ogpd9QmIr0Ia5Mw5Ar78OdO5SKv92Lf/tHPXLd0bkOzjsy3vs863A3WSkOAuEYS7dHeGSVn5e3htlS3WyhgmnO1ivrQuG6cupXPEP9imdw5xeTOSkerAVzbiD/nOvx71iDd+PbNG1ZTjTgBaDBnU3xDd8gfdRruLN2EK4PU/Z0FTX/rCHapMUWpHsoTEX6CFd2IUOv/DGuLEPF03cTKFnXrdebVOjk2uke5h3p/vzVY9tslD+uifc+/7U9jK+NW4nN71MCPJ64T9leba7vm9B8CDdcU0rdO09S986TeIoOI3PibDImnUrhvG8Rm/N1/CXvs2WkxY7cQnbGLkK1Ufb8uZyaN2uIBbXsn7SfMSbTWuvtyDkKU5GekJ8BwILFwBkXsjB//8Pu3KEMvfI+nOnZVDx1B4Fdm7qtKQXpDu45I5Xrj/MQicGb2yP8/qN473NTVft6bq3dp+yottb33RvWLQlVbqe2ZjvBsr+Re8Joso7OI3uKl3pHDGcgjz1P1lLzxi5iYYWotJ8x5mTgMSALGG2MOQb4mrX264c6V2Eq0t0uWrjve2KFnub73GYEQ6/+CQ5PGuWLbiNYtrVbmuF2wg0zU7jrtFSyU+HhD0LcszTQ5ouv+5rU4alkTskka2oWmRMycaW7iEVjNG2roPI9LzMOO5d86+b/Xl3W202V/ulnwBzgeQBr7RpjzKntOVFhKtKLPAWjGHLlfTicLsqf/AGhym3dcp1549w8cG4qEwtdvLo1zHde87Ohsu/fP3TnusmcnEnWlCyyJmfhyfcAECgLUPtuLd71Xho3NhL1xX+WIQtc6H1okgxrbYkxpvmuds1WU5iK9BJP0ViGXvkjYtEI5X+5hVB1SZdfY1KhkwfnpDH3SDebqyLM/4uPlz7pu4+D+D2wrhg+PAw+HhNiYtFEAMINYbwbvDSub6RxQ6OeC5XuUpIY6o0ZY1KAbwIb23OiwlSkF6QMG8eQL95LLOSnfNFtHVrtpz1MGtx9eipfn5lCQwC+/Yqfh1cGW3+vZw9zZbv4eGiUDRlQngMVOfBZEWwcCWEXeMJw3C54+6kyGtc34t/pV4dTesL1wC+AkUAp8BpwQ3tOVJiK9LBaTwFDr/wRkaYGKhbdRriuvMvqdjvh+hke7jk9jdxUeGRViDv/1cP3RZ3gMR48BR5SClPwFHjwFHrw5Ce28z04U51czb4ecnoQimvg4g9g+g6YsgvGOjw8trqq59otg561tgr4UmfOVZiK9KAn31jFkMvuJNJYQ/mi24g0dF1YzDnCxYNz0phc5GLJp2FuetXP+m68L+pwOUg/Mp3dY3bjz/Az9tax8dA0HhxOx35lw/VhglVB/KV+GtY0EKwK8nTOaFw2zNB6yPI3Xz8pwdNtTRdpkTHmCeBb1traxLYBHrDWfuVQ5ypMRXpI2phjKLr0DsJ1FVQsuo2I13ZJveMLnDx4birzx3v4pDrCBU/6eGFL99wXTS1OJWtyFllTssicmIkz1cnu2G5SAilgwbvJS6g6FP9UhQhWBwlVh4iFDu4ZnzHtMHbr1qf0LUfvDVIAa601xkxvz4kKU5EekHbYNIouuYNw7R7KF91G1FeXdJ15aXDnaancODMFXwhufs3Pr1Z07X1Rd547PpN2ShaZkzPx5CVm0+4JYN+2NG5o5MLpF+KOuNt8IXdrkl34QaSLOY0xxlprAYwx+bQzJxWm0mctSDyT2Zl/pPuStLHHMuSS2wnV7IoHaSvrybaXxwlfPdbDvWekYtIc/O7D+H3RSl/y90WdaU4yJ2TGn+WckkXayDQgPkzbuKGRxvWNeNd7CdXs61K6j+7cPyNdtfCDSBd6AFhujHkmsX05cF97TlSYinSjtMOPY8jFtxGqLqH8r3ckFaQeJ1wzzcNts1M5LM/JP7eF+fYrftZVJNEVdUL62PTPe58ZR2TgcDuIBqN4N3upXVYbn01botm00nOMMWnAW0Aq8Zx6xlp7lzHmRuDbwBFAUWLCEMYYB/FZuPMAH7DAWvth4tg1wO2Jqn9krX2itetaa/9ojPkAOJP4bfxLrLUb2tNmhalIN0k/YiZFF/2AYNUOKv56O1F/Y6fqOTBE3ysNc/2LTbz6aefffOIp9FD0hSJyj8/FlRFfRci/w0/VK1U0rm/Et9XX4n1OkR4SAM601jYaYzzAMmPMy8A7wIvA0gPKnweMS3xOAH4DnJAYpr0LmEH818FVxpjn9w7j7mWMybHW1ifKlwF/aXYs31q7/3v/WqAwFekG6UceT9FFtxKs2B4P0kCH1swGujdEzSxDLBaj7r06GtY24N3g1WvJpM+w1saAvb99ehKfmLX2I4ADVigCuBD4Y+K894wxecaY4cDpwJK9YWiMWQLMBZ484Py/AF8AVrH/GIwjsX34odqsMBXpYunjTqTowu8TLN9G+VN3EOtgkPZEiNYsraHyH5WEbd9dDUkGN2OMi3i4HQk8ZK1d0UbxkUDzJcRKE/ta278fa+0XEkPFp1lrd3amvQpTkS6UPv4kii74PsHyrZT/9U5iQV+7z1WIymARDofdiXuTez1qrX20eRlrbQSYZozJA541xky11n7cSpUHPaZMvEfZ2v6DWGtjxphngeMO/RMcTGEq0kUyJpxC4QXfI7BnCxVP3Uks2NSu8xSiXae/z/weLNxud9haO8PQP20AACAASURBVKM9Za21tcaYpcSHZ1sL01JgVLPtYmB3Yv/pB+xf2sbl3jPGzLTWrmxP25pTmIp0gYyJsyk8/7sEdm+i4um72xWkClGRlhljioBQIkjTgbOB+9s45XngRmPMIuITkOqstXuMMa8CPzb7brKeC9zaRj1nANcbY7YDXhL3TK21Rx+qzQpTkXZq7bnXjEmnUviFmwns2kjFM/ccMkgVoiKHNBx4InHf1Ak8Za190RjzTeB7wDBgrTHmJWvtV4GXiD8Ws5X4ozHXAlhra4wxPwT29jTvPcTM3PM622CF6QAyUBY56Grd+feSOfl0CubfRKB0QzxIQ/42y//7MR7uOV0hKtIWa+1a4KBl/Ky1vwR+2cL+GK283cVa+zjweFvXSzzXej3xyU7rgN9b27H/EylMRTopc8qZFMz/NoGd66j4273EQoFWy04d4uTheWnMHuPm/V0Rrn/RqxAV6TueAELA28R7p5OBb3WkAoWpSGsWL9hvc+HeLxctILNiDAWfzsCfW0Hlg/cSC7ccpJkeuOv0VG46MYVaf4yvPNfEwtWhTi8m5Mp2MeSCIZgzDMSIh+iLlYRrFaIiSZhsrT0KwBjze+D9jlagMBVpS83Bj7Zk1R5JfvkM/Bl7qJzwXqtBeskkN7+Ym0ZxjpNHVwW59Y0ANZ18r6gjxUHhuYUUzi/EmeLEvmWpeK5CISrSNT5fbNpaG25hUYhDUpiKdEBW7TgKyk+iKXMXFSP+Ba60g8ocYRz8el46c49089GeCJc95WXFrk4O6TrAzDYMuXgIHuOhflU9Zc+UEdwTTPInEZFmjjHG7F042wGkJ7b3zubNOVQFClORdsqy4ymoOBFfZimVI5aCc/8F5lNdcMusVG6ZlUIwAt982c/DK4NEOjmmm3VMFsMuH0ZacRq+rT5KHi7B90n7F4EQkfax1rqSrUNhKtIGTyCXjIYxZDSMISVo8GWWUDnizYOCdM4RLn49L50j8538ZV2Im1/zU9bYuRRNH5vOsCuGkTkxk0BZgJ2/3kn9B8m9tq2v0wx06e8UpjIwNZs8tHDvl4sW7F/mooW0xFMwioyJs8hYfQ4pTbnEiBFIr6B6yAoa8z4Bx74gLQ76+Nnl6Vw22cOmqghn/dHLP7d1bkg3pSiFIZcNIe+EPML1YXb/cTc1b9aA1p8X6fMUpjJwtTB56HP5GfttegpHkzFhFhkTTyGlcAyxWJSAu5qaISvwZe8k4t5/IQZ3LMq36ndwd8lWXOPc/OANPw+8GyTYieBzZbkouqCI/DPzIQIVz1VQ9XIVUX8S7ykVkR6lMJWDHgHh5hfggfMPLtdKT65fioGncAwZE08hY8IsUgpHxwO0ZD3Vr/2Gpi3Lifz5whYDeZa/ht/UbGBqqJEXcobxzZ99wvbajg/pOlIcFJxTQNH8IpxpiRm6izVDV6Q/UphKXPPQCEcPDpEDenL9Ugw8wTwyGsaQuXMsnusuIxaNxAP0wxfxbVlO1Fvb6ulFkQD/YzezwLubHa40Lig6lheKD4PaLR1rhwPyZuUx9OKhePI91H9YT/kz5QR2t77og4j0bQpT6Vvac68T9u8lO1043CnxjysFhycFhzcXR1MGjpgLR9RFqr+IzIbD8ARziRElkFNF/eI/4dvyLlFf6wHqjMU4NVDDFd4yrvTuISMW4cc5h3Nf7uH4nB3/v0/2tGyGXjqUtFFp+D71UfLbEnxbNENXpL9TmEqf46wMk9JURFpTEZ5APs6oOxGKiT8dbhzfOGdfgDpbmNW+dv/NGFECGeXU523El72T6BAn3PZyi9d3ACcWu7iidA1frClleCRAo8PFc+lD+FHeEWzyZHXsB3JAzowcis4vIn10OoHygTVDVzNxRRSm0ge484aROnIyqcWTSF19MilNuUA8AEOptUSdQaKuIDF3EzFHhFgaxN5bTywcIhYOEAuHiIaDxJp/vnsKMa+PmDNCzBEh7Gkk6m6+CP3Bw9bThzm5cqqHK6Z4GJPnxF+1jX/kDGORKeYfucO44nk3JwKbLmrnD+aE3BNyKTq/iLQRaQT2BCh9tJTaFbWaoSsywChMpWc53aQMOyIeniMnkjZyMq6s+NJdUX8jgdQGbOZnBNIrCKZVE3O2MBknPwO+u7Dt6xSMBcehh08nF+0NUDfjC1yEIjFe/TTM7f8K8NymEA3BWmBTvHDi7TOHmojlcDnIOyWPoi8UkTIkBX+Jn50P76R+ZT2dXpRXRPo0hal0K2daFqkjJ33e80wZNg6nJxWAkN1D0/aPCJRuILBrI6GqnbD4mrYfaekCR4S8XFG2kyuvz+SooS4i0Rj/2h7hf95p4u8bQ9i236LWKofHgTnVUDivkJSCFJq2NbHjFztoWN2gEBUZ4BSm0uVSR04kY9JppI05hpTC0QDEIiGC5Z/S+NFLBHZtxL9rQ+szZxMzhxcsjm8ubO+wahtGhZv4oreMK317mBGM36t82x/jhpeaeGZDmApv59POkeIg/4x8Cs8rxJPnwfuJl90Ld9O4rjH5hotIv6AwlS7hKRxN5qTTyJx8Gu68YThjYUywkq1vPkGgdAPBsk+IhduxOHvzIdR2Dqu2ZkTYz2W+Mr7oK+OUQDy4V6bkcLOZwFMjxlJ6z1OdqncvZ5qT/LPyKZxTiDvHTeOGRkp/W4p3kzepekWk/1GYSqe5sovInHQqmVNOJ2XIWGLRCP7tH1G77M9cfPwRuGNhPnzv6R5t0/AsB5dN9nD5ljeZ7a0GYI0nm9vyxrEoYzifeRITj1I6/9ysK9NFwTkFFJxTgCvTRcOaBipeqKBpa9OhTxaRAUlhKh3iTMsiY8IsMiefRtroowDw79pIzZLf4t207PNnNt0zx/RYm4ZlObh0kpsvTvEwa7QLp8PB2kiI23PH8XTmULZ09FGWVoQ8IcpHlTP+p+NxpbuoX1VPxfMV+Hd08iariAwYCtN+Ljrt2H0bq+MPVz7efB/gXP1hUtdwRF2kVxWTeckdpB9+LA6Xh1B1CbVv/QnvhqWE68rjBZNYXL6jhmY6uCQRoKeOiQfoxxUR7l4a4OkNYTY9dkmXTGRyeBxkH5NN7vG5rD1uLTFnjIYVDVS+WEmgVCsWiUicwnQA2B1q/V7kCE9K5yqNOUjzDSezfiwZDaNxxjyEh1VR/8HzeDe8Sajis5bP68Di8h01JBGgl0/2cNoYFy6ngw2VEe55M8DT68NsrOqaheEdLgdZU7PIPSGX7OnZuNJdhOvCFJYVMrR0KIt+u6hLriMiA4fCVPbjCmWSc+yXyfx0Nq5IOhFnAG/OdrwjdxNY8ADEevZNJtnOAP95nIcvTvZw+mHxAN1YGeFHbwd5an2IDZVd1B4nZE7KJO+EPHKOy8GV6SLcGKbu/TrqVtTh3eTlxH8/sWuuJSIDzqAN0wWJmaIDYSm0vb3Pr0w7GoDHV69tq3jLYg6yayeQVzkdxxExfBm78WZvoylzV/xF2LkZPRKkI7IdzBrtYtZoNxcMf4NRnjqco9LZXBXhvreDPL0hxMcVXdQOB2SMzyD3+FxyZ+biznETaYpQ/2F9PEDXe4lF9ICoiBzaoA3TgaL5/dAFiTDt6D1SjzeHgp2nkeovoilzF9WLfkrku9O7tJ0tcQCTipzx8BwVD9CxxgmANxjj3dJqHt8Z5tmNYdZ1VYASI50mcpuqyH1wAh7jIRqI0rC6gdoVtTSuayQWUoCKSMcoTJPUr3u4Lg95J19BzrqziTqDVA5/G1/2NvBWdcvlUqIRZoxyfR6ep4x2k5/uAKCsMcqynRF+sSLIsp1h1pRHCSebn4l7tNcsjtGU1cSbp9SQG6ohJRokGnDQ+FkTZe+X0bC6gWhAL+IWkc5TmA5SqaOmUjDnRjwFxTQWbsfmrCDq7trZqXmRECcHLLMCllmBWmburCPtK5kAbKqK8PeNIZbtjLBsZ5hPbRf3BpvNGt7ys5NoMA0UemM0rm+kYkUd9R/VE23qWID2y1+YRKRHKEwHGWdqJnlnfIXsY+YQqi2j/K+34//5NKjpmiAtDjdxhbeMK3x7mJlYti+Eg1UpOfy66AiW/XIN75REqPL13FBqfkU++RX5vPLLV4h49boWEel6CtNBJGPCKZizv4YrI5e6FX+jbtlfiIUDwLSk6i3McHDZZDdXbXmTUxOrDr2fkssduUfydprh/ZQ8mpyu+LDr5lVd8JN0TNGeIgAFqYh0G4XpIODKLiD/nP8iY9yJBMq2UvnMPQTLP02qzuwUuHiShyuneDjnCBdup4P1kSC3545jUeYwPvVkdlHrRWSwMcakAW8BqcRz6hlr7V3GmLHAIiAf+BD4srU2aIwZDTwB5AEu4BZr7UuJum4FriP+FuFvWmtf7Y42K0wHNAdZ0+dhTrsGnE7sv35P/crnWn7EpfmbWs64kIX5BxdJc8P8cW6umuph/ng3aW4H22yU/10e5Ml1IdY9cjFYrU8rIkkLAGdaaxuNMR5gmTHmZeA7wM+stYuMMb8lHpK/AW4HnrLW/sYYMxl4CTgs8f1KYAowAnjdGDPeWtvlw1QK007oiSX8kuUpGEX+3G+QVjyZpu0fUfPKr/ct+3egNt7U4nbC2Ye7uWqqm4u+m01OqoOyxiiPrAry5LowK3Y1+2/S4eiOH0VEBhlrbQzY+w5DT+ITA84Erk7sfwK4m3iYxoCcxP5cYHfi+4XAImttANhmjNkKHA+829VtVph2wszNmwi1sYCBx+Hswdbss3DhQnC5yT3lanJPupxosImqFx/Eu/6fHarHQYzZo11cdZSHyye7KcxwYptiPLU+xJMfh1i6PUK0pflDN7/w+dcFs8+Pt+ntF1ooKCKDWTgcdhtjPmi261Fr7aPNyxhjXMAq4EjgIeBToNZaG04UKQVGJr7fDbxmjPkGkAmcndg/EnivWbXNz+lSCtNOWDlh4iHXw+3xnqnLQ9qYozFnXEdK4Wga1/8L+8bviDbVd6ia6em7+bf81eRfm4k3GOO5zWEWfezn1U/DBA81MPJp9b7vs1vYJyICuN3usLV2RltlEkOx04wxecCzwKQWiu39tf4qYKG19gFjzEnAn4wxU4mvDdPaOV1qUIVpfxiebS9HSgapxZNJK55C6qjJpA4bj8PtIVxXTvlTd+Lf1rmfoy6Sxo6g4euLP+WFLWF8oS5uuIhIB1hra40xS4ETgTxjjDvROy1m33DudcDcRPl3ExOYCon3REc1q675OV1qUIUpdNMbVpLUnlWUXJmG1FFTSC2eQlrxFDxDDsPhcBKLhAmWb6V+1fMEStbj37Em8bhL53wWzOeXlSfx1/WbO11HX6PFFkT6F2NMERBKBGk68WHb+4F/AZcRn9F7DfBc4pSdwFnAQmPMJCANqASeB/5ijHmQ+ASkccD73dHmQRemXbIofA9w5w0ndVQ8OFOLp+DJHwFANOgnsHsTvneeJFCynsCezcRCeq+miAwow4EnEvdNncRn6r5ojNkALDLG/Aj4CPh9ovzNwO+MMTcRH8ZdkJjEtN4Y8xSwAQgDN3THTF4YZGHaFYvCd4cY4HXnkn3sFz7vfbqz4s+mRJrqCZRuoHHNy/hL1sefD41q8QERGbistWuBg962Ya39jPhs3AP3bwBOaaWu+4D7urqNBxpUYdqnPLuAFK8ho2oUr1cX4w5mkH/OOYRTfARyqqjL3k7g9scIVZXQTffLRUSkiyhMe5inaCyZk2aT8dFcPIEsYkRoytxDbf5H+DPKiHi88YL5GVC1s3cbKyIi7aIw7QHugmIyJ55K5qTZeApGEYtG8KdVUWfW0pS1k6ir9UlR/ZUm/YjIYKIw7SbuvGFkTJxN5qRTSRkyllgsSmDnx9R/8Dy+ze8QffKSvSVZsDj+P8PCi3qvvSIi0nmDNkyT7Tm1NCt4V1ou/xg2lX8Mm8rIOfFFNvylG6h5/RF8m98h0lizr4I2lvATEZH+ZdCGaTKazwC+6tjjqUwtZvjUKaSNjC/QEdizBe+q3+PbtIxIQ2VvNVNERHqIwjQJjpQM3i2cR8zhxNn0GfbNJ/BteptwbVlvN63TdK9TRKTjFKZJiAV9TKhfRU6ohqcX/qq3myMiIr1EYZqk4f4dvd0EERHpZQrTJGlYVEREeufFmyIiIgOIwlRERCRJClMREZEkKUxFRESSpDAVERFJksJUREQkSQpTERGRJClMRUREktR/Fm1YvGD/7ZtfgAfO33+f3roiIiK9oP+EKUCNb9/3cHT/7fyMnm+PiIgI/S1MBygtSSgi0r/pnqmIiEiSFKYiIiJJUpiKiIgkSWEqIiKSJIWpiIhIkhSmIiIiSdKjMSIi0qcYY9KAt4BU4jn1jLX2LmPMWGARkA98CHzZWhtMnPNF4G4gBqyx1l6d2H8NcHui6h9Za5/ojjarZyoiIn1NADjTWnsMMA2Ya4w5Ebgf+Jm1dhxggesAjDHjgFuBU6y1U4BvJ/bnA3cBJwDHA3cZY0x3NFhhKiIifYq1NmatbUxsehKfGHAm8Exi/xPARYnv/wE8ZK21ifMrEvvnAEustTWJY0uAud3RZg3ziohIn2OMcQGrgCOBh4BPgVprbThRpBQYmfg+PnHOO4ALuNta+0rieEmzapuf06X6T5je/EJ8Pd699tTDPUv2bbvVyRYR6Q/C4bDbGPNBs12PWmsfbV7GWhsBphlj8oBngUktVBVL/OkGxgGnA8XA28aYqYCjjXO6VP8J0wfO339h+3uWwF3n7NvOz9BbY0RE+gG32x221s5oT1lrba0xZilwIpBnjHEneqfFwO5EsVLgPWttCNhmjNlMPFxLiQfsXsXA0i75IQ6g7pyIiPQpxpiiRI8UY0w6cDawEfgXcFmi2DXAc4nvi4EzEuULiQ/7fga8CpxrEoBzE/u6XP/pmYqIyGAxHHgicd/UCTxlrX3RGLMBWGSM+RHwEfD7RPm9obkBiAD/ba2tBjDG/BBYmSh3r7W2pjsarDAVEZE+xVq7Fpjewv7PiD/icuD+GPCdxOfAY48Dj3dDM/ejYV4REZEkKUxFRESSpDAVERFJksJUREQkSQpTERGRJClMRUREkqQwFRERSZLCVEREJEkKUxERkSQpTEVERJKkMBUREUmSwlRERCRJ/Wuh+/yMfd/dzv23RUREeokjFmv/S8f37NkTGzFiRDc2R0REBrra2lpfbm5uZm+3oytpmFdERCRJClMREZEkKUxFRESSpDAVERFJksJUREQkSQpTERGRJLX7OdO6urpUp9PJiSee2J3tERER6Xfa/ZxpXV1daiwW8/v9/m5ukoiIDGTp6enk5uY6ersdXandPdPc3NzAnj170KINIiKSjNraWl9vt6Gr6Z6piIhIkhSmIiLSpxhjHjfGVBhjPm7luMMY80tjzFZjzFpjzLHNjl1jjPkk8bmmp9qsMBURkb5mITC3jePnAeMSn/8EfgNgjMkH7gJOAI4H7jLGmG5taYLCVERE+hRr7VtATRtFLgT+aK2NWWvfA/KMMcOBOcASa22NtdYCS2g7lLuMwlRERPqbkUBJs+3SxL7W9ne7/vU+UxER6ffC4bDbGPNBs12PWmsf7UAVLT1WE2tjf7dTmIqIdJHz3/15m8dfOOnbPdSSvs3tdoettTOSqKIUGNVsuxjYndh/+gH7l7ZVUeKeatha25BEezTMKyIi/c7zwL8nZvWeCNRZa/cArwLnmgTg3MS+/RhjRhhj/miMqQOqgPXGmJ3GmLuNMZ7ONEhhKiIifYox5kngXWCCMabUGHOdMeZ6Y8z1iSIvAZ8BW4HfAV8HsNbWAD8EViY+9yb2Hej/gMettbnA5cDfgEnER2sf6kybNcwrIiJ9irX2qkMcjwE3tHLsceDxQ1yiwFq7NFH+78aY26y1XuB2Y8ymTjRZYSoiIoNOpTHm34B/ApcC2yG+GASdHLHVMK+IiAw2XwEuAF4jvsDDjYn9+cCtnalQPVMRERlUrLU7gS+2sL+a+P3TDlPPVEREBiVjzHhjzBt71wA2xhxtjLm9M3UpTEVEZLD6HfFh3RCAtXYtcGVnKlKYiojIYJVhrX3/gH3hzlSkMBURkcGqyhhzBIklB40xlwF7OlORJiCJiMhgdQPwKDDRGLML2Ab8W2cqUpiKiMigZK39DDjbGJMJOJNZn1fDvCIiMqhZa717g9QYc21n6lCYioiI7HNPZ07SMK+IiAwqxpi1rRxyAEM7U6fCVERE+hxjzFzgF4ALeMxa+5MDjv8MOCOxmQEMsdbmJY5FgHWJYzuttRccUP1QYA5gD9jvAJZ3pr0KUxER6VOMMS7ir0I7h/gLv1caY5631m7YW8Zae1Oz8t8ApjeroslaO62NS7wIZFlrV7dw7aWdabPCVERE+prjga2J2bYYYxYBFwIbWil/FXBXeyu31l7XxrGrO9DOzylMRaTDIjfc2OZx10O/7qGWyAA1Eihptl1K/O0uBzHGjAHGEn+d2l5pxpgPiK9m9BNr7eLuauheClMREelR4XDYnQi7vR611j7abNvRwmmxVqq7EnjGWhtptm+0tXa3MeZw4J/GmHXW2k+TbHabFKYiItKj3G532Fo7o40ipcCoZtvFwO5Wyl5JfCWjz1lrdyf+/CxxD3Q60K1hqudMRUSkr1kJjDPGjDXGpBAPzOcPLGSMmQAY4N1m+4wxJjXxvRA4hVbutRpjJrew7/TONFg9UxER6VOstWFjzI3Aq8QfjXncWrveGHMv8IG1dm+wXgUsstY2HwKeBDxijIkS7zD+pPks4AM8ZYz5E/A/QFrizxnASR1ts8JURET6HGvtS8BLB+y784Dtu1s4bzlwVDsvcwJwP/FnS7OBPxPvyXaYhnlFRGSwCgFNQDrxnuk2a220MxUpTEVEZLBaSTxMZwKzgKuMMc90piIN84qIyGB1nbV27yM6ZcCFxpgvd6Yi9UxFRGRQahakzff9qTN1KUxFRESSpDAVERFJksJUREQGLWPMGGPM2Ynv6caY7M7UozAVEZFByRjzH8AzwCOJXcVApxbF12zeTtAbM0REBoQbiL/ubQWAtfYTY8yQzlSkMBXpZue/+/M2j79w0rd7qCUicoCAtTZojAHAGOOm9bfTtElh2s/pH2oRkU570xjzAyDdGHMO8HXghc5UpHumIiIyWN0CVALrgK8RXwv49s5UpJ5pL1GPUkSkdcaYucAviL815jFr7U8OOL4A+F9gV2LXr621jyWOXcO+UPyRtfaJlq6RWIf3d4lPUgZVmCrARET6PmOMC3gIOIf4i8JXGmOeb+FVan+11t54wLn5wF3EX6UWA1YlzrUtXOcLwA+BMcTz0AHErLU5HW3zoApTkf7qUL8IQvt+GdRM9JbpF+0+53hgq7X2MwBjzCLgQlp5yfcB5gBLrLU1iXOXAHOBJ1so+3PgEmDdAe9E7bB+E6b6j11EZGAIh8NuY0zzdXEftdY+2mx7JFDSbLuU+LtHD3SpMeZUYAtwk7W2pJVzR7bSlBLg42SDFPpRmIqIyMDgdrvD1toZbRRxtLDvwMB7AXjSWhswxlwPPAGc2c5z9/oe8JIx5k0gsHentfbBNtrWIoWpiPQKDTlLG0qBUc22i4HdzQtYa6ubbf4OuL/ZuacfcO7SVq5zH9BI/MXgKZ1uLQpTERHpe1YC44wxY4nP1r0SuLp5AWPMcGvtnsTmBcDGxPdXgR+bvSsxwLnAra1cJ99ae25XNFhhKl02uaUv0T12kf7LWhs2xtxIPBhdwOPW2vXGmHuBD6y1zwPfNMZcAISBGmBB4twaY8wPiQcywL17JyO14HVjzLnW2teSbbPCVERE+hxr7UvEF1Fovu/OZt9vpZUep7X2ceDxdlzmBuB7xpgAEEKPxshAMRB7ySLSN1lrO/W6tZYoTEWkXxtoQ/r6hbLnJB6rOYi19q2O1qUwFWmF/lETGfD+u9n3NOKLRawi/ohNhyhMRURkULLWnt982xgzCvifztSlt8aIiIjElQJTO3OieqYiIjIoGWN+xb7VkZzANGBNZ+pSmEqX0Yo2ItLPNF8fOEx8ecJ3OlORwlRERAal1t5z2hkKUxERGVSMMetoefH7vYs2HN3ROhWmIiIy2HyhqytUmIqIyKBird2x97sxZigwM7H5vrW2ojN16tEYERHpc4wxc40xm40xW40xt7Rw/DvGmA3GmLXGmDeMMWOaHYsYY1YnPs+3cY0v8v/bu9NYu6oyjOP/tpcCAtbHARSopg6oGKRIEWQQG0BQEQSRwYAGSipOoFECgQBqYrQqagWJFCMaFRG1iBODKCKCKFUBkQYZpFhxAh5Ri0IvrR/WPuF40+HcYd999unz+3LPsM+5731zs9+11l5rL/gl8CbgcOAXkg4bS7zpmUZEDKA2z66XNA34LLAfZe3nTZK+Y/v2rsN+A8yx/Yikt1NutnBE9d5/bM/u4VedDuzS6Y1KegZwNfDN0cacnmlERPSblwN32b7H9mPAxcDB3QfYvsb2I9XTGymbgI/W1BHDug8yxrqYnmlERPSbbYA/dj1fDuy6juPnAZd3Pd9E0hLK2tGP2v72Wj53haQrga9Vz49gxLZvvUoxjYiISTU8PDxUFbuORbYXdT2fsoaPrWkpC5KOBuYAe3e9/Gzb90t6LvBjSb+1fffIz9o+WdKhwJ7V71xk+9LR/j2QYhoREZNsaGho2PacdRyyHJjZ9Xxb4P6RB0nal3Ldc2/bj3Zet31/9fMeST8BdgLu7vrcucBFtm+wvRhYPI4/B8g104iI6D83AS+QNEvSdOBI4P9m5UraCTgfOKj7uqeKjavHTwf2ALonLgHcCZwt6V5JCyT1MllpnVJMIyKir9geBt4FXAksBS6x/TtJH5J0UHXYx4HNgW+MWALzYmCJpFuAayjXTG8f8f0Lbb+CMjT8EHChpKWSzpS03VhizjBvRET0Hds/YMRkINtndj3edy2fuwHYocffsQxYACyoerpfAM4Cpo023hTTiIjYIEnacLhkjQAACJtJREFUCDiAMoy8D3At8MGxfFeKaUREbFAk7QccBbyOcgeki4H5tleM9TtTTCMiYkNzGnAR8H7bD03EF6aYRkTEBsX23In+zszmjYiIGKcU04iIiHFKMY2IiBinFNOIiIhxSjGNiIgYpymrV6/xRvxr9PDDD68C/lNfOL0bHh4eGhoaGm46jkGU3NYr+a1X8lufCcztpjNmzBioztyoimk/kbRkPbsOxBglt/VKfuuV/NYnuV27gWoZRERENCHFNCIiYpzaXEwXrf+QGKPktl7Jb72S3/okt2vR2mumERER/aLNPdOIiIi+MJDFVNKUpmMYVJI2aTqGDUH+hyPaZaCKqaQXStrG9uqcjCaepAOAcySdLWnjpuMZRJJmAdjO9ZcJlnNC1Glgiqmkg4AfAWdIem4K6sSSNBdYCHwX2AM4q9mIBo+k/YGLJW2b/92JVW0GfbqkD3UagslxTKSBKKaStgCOA74G3AmcmII6caocHgacb/s7wHuAJ0maJ2mmpI2ajbD9JL0eOAM41fby9EwnjqTXAOcAdwNzgfMgvf+YWAMzm1fSc4CHgO2ANwBbAOfavqvRwAaEpGOBQ4DFwNnAl4DnA8uB82zf1mB4rVU1VJ4E/An4pu3jJW0L7APMAC4F/mJ7ZYNhtpakLYGLgE/Z/n7V8PsZpdFyTbPRxSBpdTGVtB3wMLDK9t+7Xp8DHEwpqKcAOwL32v5bI4G2VJXffwKPAquAtwAvBVbbni9pKvBFYJntMxoLdABI2pkyhH4BsDtwA7AbpTe10PYdDYbXWtWEuV0o+Zxqe6WkrwKX2L6s2ehikLR2mFfS64CrgA8CV0japfOe7SXAZcB9wLXAD4FNm4izrUbk94fALNvnAJ8FhiXNtL0K+DkwXdK05qJtp+6Z0bZ/BRwInAb8xPZZwGuApwJHNBNhe0l6nqStgE1tX2f78a7e/TJgenXcXEkzGws0BkbriqmkKZKeDpwKHGf7BOBzlIkb+3SOqwrqTGArYA/byxoJuGXWkN+3Ue568i1J+wL3AJsAJ0n6CHAS8CXbjzcWdAtV10gXSNq+85rtXwNb2/6wpCldjZWVufbfu2rW+WLgo8DiaoSFaiQFyrD6xpIOA84H2js8F32jdcXU9mrbDwC3AkOSptm+gDK79PPVEC+SZgB7AYfmel7v1pLfRZT8LgKeCXySMvy4GXCw7dsbC7iFJO0AXAjMAV4v6cWd9zqXK6rJc8cBxwLfzmSZ3kjaHfgM8A7KRLmrgWOqtzujJ/cB7wPeCRxie/lkxxmDZ6jpAEaraqFPBf4O7E1ZDoPtr0jaHFgo6SDbD0ra3fZjDYbbOuvJ75OBzwOvtX1b1XvKSX70VlGGbu+jjAC8SdI3bC8FkLQp8BJgHnB05/VYt+p/dxbwAdvXV68tBY4C6Brm/ROwJfDm5DYmSlt7po9Tpre/EviApKHqxP45YCnQGXLMDMhRWk9+zwPuomqEpZCO2VLgJtt3UoYinw0c3jXkO6W6THFgRlV6V/0/fgv4adfLv6RMRARA0mbA94CdU0hjIrViNm+nB9T1c6NqVt6zgK8D1wO/oEzWOBXYMzN3e5f8NkvSC4GTgVuArSk3xdg3oyrjV91R6nLbL6qWd70KmGd7uNnIYtC0omfa1QPasXq+UtKQ7T8DhwKmDEkeQblGmhP9KCS/9epMHhr5s/O4WvZyImVY9yjgxBTS3qwrt5UHgduq688nAB9LIY06tKZnSlnAfjsw3/b3qten2l7V1aPazPaKRoNtoeR3ckiabfvmtby3K3Alpdefod1RWk9u/wCsAA7PZLmoS9/2TLtbmNV1vH9Qbre2XbV8Y1q1dKDbI5MaZIslv5OnyudTgB9IOnAth/0F2DGFdHTWl1tJ0ynrpN+YQhp16tti2hl6rNaMddxKuVXg1rYf7xSEzrGZENO75LdevTRWuo+3vSxroXvTa26rEZXHgBNyB6moW98V0+5rH9Xj90q6VNJ84PfAJcBHJE3PyX30kt/JMZrGSoxOr7ntagSOHGGJmHB9VUxHrFt8AbCZ7f2BTwPbAEso1/aeQ1knFqOQ/NYvjZX6JLfRz/qqmHa1ON9B2U7tAklXAUuqe5W+h3IHnln0WextkPzWK42V+iS30e/6YjavpC1s/6t6vBdl78E3APdTtvt6FbCb7RUqNwcfsv3vpuJtm+R3clWNlXmU3tLTKLesW6GyecABlB2N9rR9X4NhtlJyG/2q8d6HpOcBZ+iJXV8M3GD7XmCl7XfzxPUQbP83J/reJb/1U9mcvvN4L2A+8EbgrcAdwI3VsqLvU27OsH1O9r1JbqMtGi+mlKGZVcAhkmZTNvjeX9KBXcM6f+WJm1TH6CS/NUpjpT7JbbRJY8W0WhvW2Xbqy5T76R5NOfG/FbhQ0qmSTqcMQ97YUKitlPxOmjRW6pPcRms0cs1UZV/M84DLga8Ayyl7Cp4AbAwspEyE2R8QZb/M3JS6R8lv/SQ9pVrfiKSXAEdSNqD/BPB84FLK9ehplGHJI23/vqFwWyW5jTZqqpjOpvSEHgNOo2wwvQB4EWXrry2BT9v+46QHNwCS33qlsVKf5DbaqpH9TG3fLOllwLXAP4FXA3OBnSlDO7OBqZJOoVwbaX7KcYskv7V7gLJt2rHAncBFlMbK5pTGysmUxsqCxiJsr+Q2WqnRpTHVxIKrgZNsf7G6DdiOlJP/ZWlxjk/yWx+VvUevBd4HXEdprBzDE42VhUAaK2OQ3EYbNb7OtDrhXwWc7rL5dEyg5Lc+aazUJ7mNtmm8mAJI2hm4CTje9heajmfQJL/1SWOlPslttElfFFMASTsBj2R3h3okv/VJY6U+yW20Rd8U04g2S2OlPslttEGKaURExDj1w+0EIyIiWi3FNCIiYpxSTCMiIsYpxTQiImKcUkwjIiLGKcU0IiJinFJMIyIixul/4PmiitZECd0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = mpf.make_mpf_style(base_mpf_style='yahoo',gridcolor='black',facecolor='black')\n",
    "\n",
    "mpf.plot(daily,type='candle',volume=True,mav=(3,6,9),style=s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "### Can get rid of axes lines by setting spines to false:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcparams = {'axes.spines.bottom':False,\n",
    "            'axes.spines.left':False,\n",
    "            'axes.spines.right':False,\n",
    "            'axes.spines.top':False,\n",
    "            }\n",
    "\n",
    "s = mpf.make_mpf_style(base_mpf_style='yahoo',gridcolor='black',facecolor='black',rc=rcparams)\n",
    "\n",
    "mpf.plot(daily,type='candle',volume=True,mav=(3,6,9),style=s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Two ways to make the tick labels and axis labels disappear: \n",
    "### Both involve setting the figure and labels to the same color so that the can't be seen.\n",
    "### 1. The Ticks and Labels are black, so set the Figure to black.\n",
    "### 2. The Figure is white, so set the Ticks and Labels to white."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcparams = {'axes.spines.bottom':False,\n",
    "            'axes.spines.left':False,\n",
    "            'axes.spines.right':False,\n",
    "            'axes.spines.top':False,\n",
    "            }\n",
    "\n",
    "s = mpf.make_mpf_style(base_mpf_style='yahoo',gridcolor='black',facecolor='black',rc=rcparams,figcolor='black')\n",
    "\n",
    "mpf.plot(daily,type='candle',volume=True,mav=(3,6,9),style=s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcparams = {'axes.spines.bottom':False,\n",
    "            'axes.spines.left':False,\n",
    "            'axes.spines.right':False,\n",
    "            'axes.spines.top':False,\n",
    "            'xtick.color':'white',\n",
    "            'ytick.color':'white',\n",
    "            'axes.labelcolor':'white'\n",
    "            }\n",
    "\n",
    "s = mpf.make_mpf_style(base_mpf_style='yahoo',gridcolor='black',facecolor='black',rc=rcparams)\n",
    "\n",
    "mpf.plot(daily,type='candle',volume=True,mav=(3,6,9),style=s)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
